Literature DB >> 27030549

The advantage of laser-capture microdissection over whole tissue analysis in proteomic profiling studies.

Tommaso De Marchi1, Rene B H Braakman1,2, Christoph Stingl3, Martijn M van Duijn3, Marcel Smid1, John A Foekens1, Theo M Luider3, John W M Martens1,4, Arzu Umar1.   

Abstract

Laser-capture microdissection (LCM) offers a reliable cell population enrichment tool and has been successfully coupled to MS analysis. Despite this, most proteomic studies employ whole tissue lysate (WTL) analysis in the discovery of disease biomarkers and in profiling analyses. Furthermore, the influence of tissue heterogeneity in WTL analysis, nor its impact in biomarker discovery studies have been completely elucidated. In order to address this, we compared previously obtained high resolution MS data from a cohort of 38 breast cancer tissues, of which both LCM enriched tumor epithelial cells and WTL samples were analyzed. Label-free quantification (LFQ) analysis through MaxQuant software showed a significantly higher number of identified and quantified proteins in LCM enriched samples (3404) compared to WTLs (2837). Furthermore, WTL samples displayed a higher amount of missing data compared to LCM both at peptide and protein levels (p-value < 0.001). 2D analysis on co-expressed proteins revealed discrepant expression of immune system and lipid metabolisms related proteins between LCM and WTL samples. We hereby show that LCM better dissected the biology of breast tumor epithelial cells, possibly due to lower interference from surrounding tissues and highly abundant proteins. All data have been deposited in the ProteomeXchange with the dataset identifier PXD002381 (http://proteomecentral.proteomexchange.org/dataset/PXD002381).
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bioinformatics; Biomarker; Label-free quantification; Laser-capture microdissection; Orbitrap mass spectrometry; Tissue heterogeneity

Mesh:

Substances:

Year:  2016        PMID: 27030549     DOI: 10.1002/pmic.201600004

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

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Journal:  Biochim Biophys Acta Rev Cancer       Date:  2016-10-31       Impact factor: 11.414

4.  Proteomic characterization of microdissected breast tissue environment provides a protein-level overview of malignant transformation.

Authors:  René B H Braakman; Christoph Stingl; Madeleine M A Tilanus-Linthorst; Carolien H M van Deurzen; Mieke A M Timmermans; Marcel Smid; John A Foekens; Theo M Luider; John W M Martens; Arzu Umar
Journal:  Proteomics       Date:  2017-03       Impact factor: 3.984

5.  Site-specific gene expression profiling as a novel strategy for unravelling keloid disease pathobiology.

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Journal:  PLoS One       Date:  2017-03-03       Impact factor: 3.240

6.  Quantitative Profiling of the Human Substantia Nigra Proteome from Laser-capture Microdissected FFPE Tissue.

Authors:  Eva Griesser; Hannah Wyatt; Sara Ten Have; Birgit Stierstorfer; Martin Lenter; Angus I Lamond
Journal:  Mol Cell Proteomics       Date:  2020-03-04       Impact factor: 5.911

7.  A Systematic Comparison of Protocols for Recovery of High-Quality RNA from Human Islets Extracted by Laser Capture Microdissection.

Authors:  Chiara M A Cefalo; Teresa Mezza; Andrea Giaccari; Rohit N Kulkarni
Journal:  Biomolecules       Date:  2021-04-22

8.  Analysis of the transcriptome of bovine endometrial cells isolated by laser micro-dissection (2): impacts of post-partum negative energy balance on stromal, glandular and luminal epithelial cells.

Authors:  Wiruntita Chankeaw; Sandra Lignier; Christophe Richard; Theodoros Ntallaris; Mariam Raliou; Yongzhi Guo; Damien Plassard; Claudia Bevilacqua; Olivier Sandra; Göran Andersson; Patrice Humblot; Gilles Charpigny
Journal:  BMC Genomics       Date:  2021-06-18       Impact factor: 3.969

  8 in total

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